Panel on Hugging Face

Published June 22, 2023
Update on GitHub

We are thrilled to announce the collaboration between Panel and Hugging Face! πŸŽ‰ We have integrated a Panel template in Hugging Face Spaces to help you get started building Panel apps and deploy them on Hugging Face effortlessly.

What does Panel offer?

Panel is an open-source Python library that lets you easily build powerful tools, dashboards and complex applications entirely in Python. It has a batteries-included philosophy, putting the PyData ecosystem, powerful data tables and much more at your fingertips. High-level reactive APIs and lower-level callback based APIs ensure you can quickly build exploratory applications, but you aren’t limited if you build complex, multi-page apps with rich interactivity. Panel is a member of the HoloViz ecosystem, your gateway into a connected ecosystem of data exploration tools. Panel, like the other HoloViz tools, is a NumFocus-sponsored project, with support from Anaconda and Blackstone.

Here are some notable features of Panel that our users find valuable.

  • Panel provides extensive support for various plotting libraries, such as Matplotlib, Seaborn, Altair, Plotly, Bokeh, PyDeck,Vizzu, and more.
  • All interactivity works the same in Jupyter and in a standalone deployment. Panel allows seamless integration of components from a Jupyter notebook into a dashboard, enabling smooth transitions between data exploration and sharing results.
  • Panel empowers users to build complex multi-page applications, advanced interactive features, visualize large datasets, and stream real-time data.
  • Integration with Pyodide and WebAssembly enables seamless execution of Panel applications in web browsers.

Ready to build Panel apps on Hugging Face? Check out our Hugging Face deployment docs, click this button, and begin your journey:

🌐 Join Our Community

The Panel community is vibrant and supportive, with experienced developers and data scientists eager to help and share their knowledge. Join us and connect with us: